基于物元分析法的农村社区环境建设绩效诊断

[目的]诊断农村社区环境建设绩效水平及其制约因素,为提高农村社区环境建设绩效水平提供参考依据.[方法]采用PSR模型、物元分析法和改进的熵值法诊断了江苏省农村社区环境建设绩效水平.[结果] 2006-2019年江苏省农村社区环境建设绩效水平不断提高,农村社区环境建设绩效水平等级经历了较差—良好的演变历程,但2019...

Diagnosis on Performance of Rural Community Environment Construction Based on Matter Element Analysis

[Objective] The performance level and its obstacle factors of rural community environment construction were analyzed, in order to provide a basis for improving the performance level of rural community environment construction.[Methods] The PSR model, matter element analysis and improved entropy method were used to diagnose the performance level of rural community environment construction in Jiangsu Province.[Results] From 2006 to 2019, the performance level of rural community environment construction in Jiangsu Province improved gradually from poor to good, but the coefficient of the correlation of the assessed rank for class of good was very weak in 2019. The proportion of environmental sanitation investment in municipal public facilities, public financial expenditure for energy conservation and environmental protection, proportion of administrative villages for domestic sewage treatment, application intensity of chemical fertilizer, use intensity of pesticide, use intensity of agricultural plastic film, energy consumption per unit GDP was verified to be the key obstacles for the further improvement of the performance level of rural community environment construction.[Conclusion] In order to effectively improve the performance level of rural community environmental construction, we should further improve the diversified investment mechanism of community environmental construction, strengthen the treatment of rural domestic sewage, effectively improve the agricultural ecological environment, promote the reduction and efficiency increase of chemical fertilizers and pesticides, strengthen the pollution control of agricultural plastic films, comprehensively promote high-quality development, reasonably improve the utilization efficiency of energy and resources, effectively reduce the energy consumption per unit of GDP, and so on.